{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Confusion Matrix Visualizer\n",
    "The `ConfusionMatrix` visualizer is a ScoreVisualizer that takes a fitted scikit-learn classifier and a set of test X and y values and returns a report showing how each of the test values predicted classes compare to their actual classes. Data scientists use confusion matrices to understand which classes are most easily confused. These provide similar information as what is available in a ClassificationReport, but rather than top-level scores they provide deeper insight into the classification of individual data points. \n",
    "\n",
    "Below are a few examples of using the ConfusionMatrix visualizer; more information can be found by looking at the sklearn.metrics.confusion_matrix documentation. "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "The autoreload extension is already loaded. To reload it, use:\n",
      "  %reload_ext autoreload\n"
     ]
    }
   ],
   "source": [
    "%load_ext autoreload\n",
    "%autoreload 2\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "#First do our imports\n",
    "#We want yellowbrick to import from this repository, and assume this notebook is in repofolder/examples/subfolder/\n",
    "import sys\n",
    "sys.path.append(\"../../\")\n",
    "import yellowbrick\n",
    "\n",
    "from sklearn.datasets import load_digits\n",
    "from sklearn.model_selection import train_test_split\n",
    "from sklearn.linear_model import LogisticRegression\n",
    "\n",
    "from yellowbrick.classifier.confusion_matrix import ConfusionMatrix"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "image/png": 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ZQuXKlY0uxy4pKYn4+HhsNhve3t5Uq1aN06dPk5qaStmyZalTp459vYyMDPz8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\ndGd8RQG6NiIAAAAASUVORK5CYII=\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x2365d50af60>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# We'll use the handwritten digits data set from scikit-learn.\n",
    "# Each feature of this dataset is an 8x8 pixel image of a handwritten number.\n",
    "# Digits.data converts these 64 pixels into a single array of features\n",
    "digits = load_digits()\n",
    "X = digits.data\n",
    "y = digits.target\n",
    "\n",
    "X_train, X_test, y_train, y_test = train_test_split(X,y, test_size =0.2, random_state=11)\n",
    "\n",
    "model = LogisticRegression()\n",
    "\n",
    "#The ConfusionMatrix visualizer taxes a model\n",
    "cm = ConfusionMatrix(model, classes=[0,1,2,3,4,5,6,7,8,9])\n",
    "\n",
    "#Fit fits the passed model. This is unnecessary if you pass the visualizer a pre-fitted model\n",
    "cm.fit(X_train, y_train)\n",
    "\n",
    "#To create the ConfusionMatrix, we need some test data. Score runs predict() on the data\n",
    "#and then creates the confusion_matrix from scikit learn. \n",
    "cm.score(X_test, y_test)\n",
    "\n",
    "#How did we do?\n",
    "cm.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "image/png": 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q3a7ffz9qOJX7Fab1Nl5IX3nlFdWpU0dOp9N0lKuy2+2y2WyuyzabTWlpaQYT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\n/S8X+Hc4jgUeFAAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x2365d50ac18>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "#The default version reports the predicted values as a percent of each 'True' class\n",
    "#Thus, the 100% values (coded in green) indicate that the predictions were 100% accurate for that class\n",
    "\n",
    "#We can also get total counts from the test data, instead of percent\n",
    "#In this example, our heatmap tells a slightly different story, since there's a slight class imbalance\n",
    "cm2 = ConfusionMatrix(model, classes=None)  #classes can be auto-calculated\n",
    "cm2.fit(X_train, y_train)\n",
    "cm2.score(X_test, y_test, percent=False)\n",
    "cm2.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Example with more classes (33) and worse predictions\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "#Another example\n",
    "#This whole cell is just setting up X and y - it's a bit messier data set\n",
    "\n",
    "#Be sure to add the relevant file to the /data folder, from the UCI ML library\n",
    "#available here: https://archive.ics.uci.edu/ml/datasets/Geographical+Original+of+Music\n",
    "\"\"\"\n",
    "The data set in this example represents 1059 songs from various countries obtained \n",
    "from the UCI Machine Learning library. Various features of the audio tracks have been \n",
    "extracted, and each track has been tagged with the latitude and longitude of the capital\n",
    "city of its country of origin. \n",
    "\n",
    "We'll treat this as a classification problem, and attempt to train a model to predict \n",
    "the country of origin of each model. \n",
    "\n",
    "Data source did not specifify what the audio features specifically are, just\n",
    "    \"In the 'default_features_1059_tracks.txt' file, the first 68 columns are audio \n",
    "    features of the track, and the last two columns are the origin of the music, \n",
    "    represented by latitude and longitude. \n",
    "\n",
    "    In the 'default_plus_chromatic_features_1059_tracks.txt' file, the first 116 \n",
    "    columns are audio features of the track, and the last two columns are the \n",
    "    origin of the music.\"\n",
    "\"\"\"\n",
    "\n",
    "import numpy as np\n",
    "import pandas as pd\n",
    "import sklearn\n",
    "from sklearn.preprocessing import LabelEncoder\n",
    "from sklearn.utils.multiclass import unique_labels\n",
    "import sys\n",
    "\n",
    "#First get the data. The UCI ML Library distributes it as a zipped file;\n",
    "#download the data and extract the two provided files to the 'data' folder before continuing\n",
    "music_df = pd.read_csv('data\\default_plus_chromatic_features_1059_tracks.txt', header=None)\n",
    "music = music_df.as_matrix()\n",
    "\n",
    "\n",
    "#Our features are all but the last two columns\n",
    "X = music[:,0:-2]\n",
    "\n",
    "#Since feature names were not given, we'll just assign strings with an incrementing integer\n",
    "names = np.linspace(start=1, stop=116, num=116, dtype='int').tolist()\n",
    "for idx, name in enumerate(names):\n",
    "    names[idx] = \"Feature \" + str(name)\n",
    "\n",
    "\n",
    "#The source data said that each song as tied to the capital city of it's origin country via a lat/lon pair. \n",
    "#Let's treat this as a multi-class classification problem. \n",
    "#Rather than reverse-geocoding, we'll just make a string out of the unique lat/lon pairs\n",
    "lats = [\"%.2f\" % lat for lat in music_df[116]]\n",
    "lons = [\"%.2f\" % lon for lon in music_df[117]]\n",
    "song_latlons = []\n",
    "for index, value in enumerate(lats):\n",
    "    city_id = lats[index] + \",\" + lons[index]\n",
    "    song_latlons.append(city_id)\n",
    "\n",
    "unique_latlons = unique_labels(song_latlons)\n",
    "city_options = ['A','B','C','D','E','F','G','H','I','J','K','L','M','N','O','P','Q','R','S','T','U','V','W','X','Y','Z','AA','AB','AC','AD','AE','AF','AG']\n",
    "city_name_map = {}\n",
    "for idx,latlon in enumerate(unique_latlons):\n",
    "    city_name_map[latlon] = city_options[idx]\n",
    "\n",
    "ylist = []\n",
    "for latlon in song_latlons:\n",
    "    ylist.append(city_name_map[latlon])\n",
    "y = np.array(ylist)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "X_train_music, X_test_music, y_train_music, y_test_music = train_test_split(X,y, test_size =0.2, random_state=11)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "image/png": 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D4P6ZkkKhQKvVlssoXBV3yTGTKbjkmElOrvT0dAICAlg1sydjBpY+v7BGNUtm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\nAntSSI9VzhAAAAAASUVORK5CYII=\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x2365d5cfda0>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "#Similar to our approach above\n",
    "music_model = LogisticRegression()\n",
    "music_model.fit(X_train_music, y_train_music)\n",
    "\n",
    "cm3 = ConfusionMatrix(music_model, classes=city_options)\n",
    "\n",
    "#We don't need to call fit if the model is already fit\n",
    "#cm3.fit()\n",
    "cm3.score(X_test_music, y_test_music, percent=True)\n",
    "\n",
    "#The diagonal line, not as obvious in the previous example, shows us where our correct predictions are\n",
    "cm3.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "image/png": 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AAACGQHAFAACAIRBcAQAAYAgEVwAAABgCwRUAAACGQHAFAACAIRBcAQAAYAgE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\nEREREbEJCq4iIiIiYhP+F2OvPUJNItdyAAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x2365f9e3390>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "#We can also use the classes option to zoom in on a subset of the matrix\n",
    "cm4 = ConfusionMatrix(music_model, classes=[\"AC\",\"AD\",\"AE\",\"AF\",\"AG\"])\n",
    "cm4.score(X_test_music, y_test_music, percent=True)\n",
    "cm4.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "anaconda-cloud": {},
  "kernelspec": {
   "display_name": "Python [default]",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.5.2"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 1
}
